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Towards a risk mapping of Culicoides-borne diseases in Morocco

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2018

The European Society for Vector Ecology would like to thank the following organizations for their contribution and support to the E-SOVE 2018 conference:

Valent Biosciences

Enbiotech

Comune di Palermo

Universita degli Sudi di Palermo

Istituto Zooprofilattico Sperimentale della Sicilia “A.Mirri”

European Biological Control Laboratory – USDA ARS

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26

2018

Towards a risk mapping of Culicoides-borne diseases in Morocco

M. Bourquia1, T. Balenghien2,4, I. Rakotoarivony2, I. Boukhari1, M. Duhayon2,T. Baldet2, W. Wint5, M. Khayli6, C. Garros2,3 and K. Khallaayoune1

1 Institut Agronomique et Vétérinaire Hassan II, Unité Parasitologie et maladies parasitaires, 10100 Rabat, Morocco 2 Astre, Univ. Montpellier, Cirad, Inra, Montpellier, France

3 Cirad, UMR Astre, F-97491 Sainte-Clotilde, La Réunion, France

4 Institut Agronomique et Vétérinaire Hassan II, Unité Microbiologie, immunologie et maladies

contagieuses, 10100 Rabat, Morocco

5University of Oxford, Department of Zoology

6Office national de sécurité sanitaire des produits alimentaires, Institut Agronomique et Vétérinaire, 10015, Rabat, Morocco

Vector abundance maps are a necessary step in mapping the risks associated with vector-borne diseases to help target surveillance and control actions. Risk mapping requires sampling vector species at different scales, which is made difficult by heterogeneity in vector spatial distribution and dynamics. In Morocco, Culicoides were responsible for African horse sickness (AHS) outbreaks in the 1960s and late 1980s. Since 2004, Morocco is facing an endemic situation of bluetongue virus (BTV) transmission. Our study aimed to produce first abundance maps for the most abundant Culicoides species, and risk maps for BTV and AHSV, across the country. We conducted a national cross-sectional survey using a stratified sampling strategy based on eco-agronomic zoning, for which we hypothesized the homogeneity of Culicoides diversity and dynamics. Historical collection time series were used to determine maximum abundance periods based on climate zonation. This strategy allowed to plan a national sampling of Culicoides abundance during a single collection season. Collections were conducted twice a year with 144 farms trapped. Culicoides were sampled for consecutive 48h using a suction light trap. We obtained a total of 262 samples under identification process. The results so far have shown that C. imicola was the most common species (present in at least 70% of the sites), followed by C. circumscriptus (absent at mild altitudes) and C. kingi (mostly present in the south). Culicoides obsoletus/C. scoticus have been collected frequently in the country, including in the south. This highlighted the wide and unexpected spatial distribution of these species from Scandinavia to North Africa reinforcing the existence of sibling species. Other species have also been identified, such as C. puncticollis, C. newsteadi, C. catanei/C. gegjelensis (rather present in the north on the coast), C. punctatus (rare in the south), C. pulicaris/C. lupicaris and C. kurensis. Interestingly, although C. paolae is mentioned in the literature as being associated with prickly pears in the Mediterranean basin, this species was absent in many areas heavily vegetated by this fig tree. This original dataset will be used to determine the ecological factors of the abundance and distribution of Culicoides of veterinary interest in order to provide accurate mapping of vector-related risks across Morocco.

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